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  3. Visualizing Geospatial Data in Python

Exercise

Plotting points over polygons - part 2

We have loaded the usual libraries as pd, plt, and gpd, the chickens dataset as chickens, and the service districts as service_district. Plot the service districts and chicken permits together to see what story your visualization tells.

Instructions

100 XP
  • Start by plotting the GeoDataFrame with the service districts. Use the name column for your legend color.
  • Next plot latitude and longitude from the chicken data to create a scatterplot. Specify 'black' for the marker color and give them a 'white' outline.
  • Give the plot a title: 'Nashville Chicken Permits' and label the x-axis as 'longitude' and the y-axis as 'latitude'.
  • Add grid lines and show your plot.